The molecular signature and prognosis of glioma with preoperative intratumoral hemorrhage: a retrospective cohort analysis.

BACKGROUND: Intratumoral hemorrhage, though less common, could be the first clinical manifestation of glioma and is detectable via MRI; however, its exact impacts on patient outcomes remain unclear and controversial. The 2021 WHO CNS 5 classification emphasised genetic and molecular features, initiating the necessity to establish the correlation between hemorrhage and molecular alterations. This study aims to determine the prevalence of intratumoral hemorrhage in glioma subtypes and identify associated molecular and clinical characteristics to improve patient management. METHODS: Integrated clinical data and imaging studies of patients who underwent surgery at the Department of Neurosurgery at Peking Union Medical College Hospital from January 2011 to January 2022 with pathological confirmation of glioma were retrospectively reviewed. Patients were divided into hemorrhage and non-hemorrhage groups based on preoperative magnetic resonance imaging. A comparison and survival analysis were conducted with the two groups. In terms of subgroup analysis, we classified patients into astrocytoma, IDH-mutant; oligodendroglioma, IDH-mutant, 1p/19q-codeleted; glioblastoma, IDH-wildtype; pediatric-type gliomas; or circumscribed glioma using integrated histological and molecular characteristics, according to WHO CNS 5 classifications. RESULTS: 457 patients were enrolled in the analysis, including 67 (14.7%) patients with intratumoral hemorrhage. The hemorrhage group was significantly older and had worse preoperative Karnofsky performance scores. The hemorrhage group had a higher occurrence of neurological impairment and a higher Ki-67 index. Molecular analysis indicated that CDKN2B, KMT5B, and PIK3CA alteration occurred more in the hemorrhage group (CDKN2B, 84.4% vs. 62.2%, p = 0.029; KMT5B, 25.0% vs. 8.9%, p = 0.029; and PIK3CA, 81.3% vs. 58.5%, p = 0.029). Survival analysis showed significantly worse prognoses for the hemorrhage group (hemorrhage 18.4 months vs. non-hemorrhage 39.1 months, p = 0.01). In subgroup analysis, the multivariate analysis showed that intra-tumoral hemorrhage is an independent risk factor only in glioblastoma, IDH-wildtype (162 cases of 457 overall, HR = 1.72, p = 0.026), but not in other types of gliomas. The molecular alteration of CDK6 (hemorrhage group p = 0.004, non-hemorrhage group p < 0.001), EGFR (hemorrhage group p = 0.003, non-hemorrhage group p = 0.001), and FGFR2 (hemorrhage group p = 0.007, non-hemorrhage group p = 0.001) was associated with shorter overall survival time in both hemorrhage and non-hemorrhage groups. CONCLUSIONS: Glioma patients with preoperative intratumoral hemorrhage had unfavorable prognoses compared to their nonhemorrhage counterparts. CDKN2B, KMT5B, and PIK3CA alterations were associated with an increased occurrence of intratumoral hemorrhage, which might be future targets for further investigation of intratumoral hemorrhage.

Whole genome sequencing of the halophilic Halomonas qaidamensis XH36, a novel species strain with high ectoine production.

Here, we report the whole genome of a novel halophilic Halomonas species strain XH36 with high ectoine production potential. The genome was 3,818,310 bp in size with a GC content of 51.97%, and contained 3533 genes, 61 tRNAs and 18 rRNAs. The phylogenetic analysis using the 16s rRNA genes, the UBCGs and the TYGS database indicated that XH36 belongs to a novel Halomonas species, which we named as Halomonas qaidamensis. Osmoadaptation related genes including Na(+) and K(+) transport and compatible solute accumulation were both present in the XH36 genome, the latter of which mainly contained ectoine, 5-hydroxyectoine and betaine. HPLC validation studies showed that H. qaidamensis XH36 accumulated ectoine to cope with salt stress, and the content of ectoine could be as high as 315 mg/g CDW under 3 mol/l NaCl. Our results show that XH36 is a new promising industrial strain for ectoine production, and the genomic analysis will guide us to better understand its salt-induced osmoadaptation mechanisms, and provide theoretical references for future application research of ectoine.

First Report of Pectobacterium parmentieri Causing Blackleg on Potato in Inner Mongolia, China.

Blackleg on potato plants (Solanum tuberosum) is caused by Pectobacterium spp. and Dickeya spp. (Charkowski, 2018) worldwide. From June to August in both 2018 and 2019, cases of blackleg were investigated in potato-producing areas in Hulunbuir, Ulanqab, and Hohhot in Inner Mongolia, China. The total surveyed field area was about 200 hectares. The plants showed typical blackleg symptoms, such as black and stunted stems or curled leaves (Fig. S1), and the number of infected plants were counted. The disease showed an incidence of around 8%. Five diseased plants were collected from a 10 ha potato field with approximately 75,000 potato plants (cv. mainly Favorita and Xisen) per hectare. Two-centimeter-long samples of symptomatic stems were removed from the selected plants using a sterile scalpel. The surfaces of the samples were disinfected with 75% ethanol for 2 min. They were then rinsed with sterile distilled water and soaked in 5 ml sterile distilled water for 30 min. Aliquots of three tenfold dilutions of this solution were plated onto the crystal violet pectate agar (CVP) plate and incubated for 3 days at 28°C (Ge et al., 2018). A single bacterial colony that showed pitting on CVP plates (Fig. S2) was picked with a toothpick, streaked onto nutritional agar (She et al., 2013) to obtain pure colonies. Amplification of a 1.4-kb segment containing 16S rRNA gene was performed on the pure colonies using the universal primer set 27F/1492R (Monciardini et al., 2002). The amplicons were sequenced and submitted to the GenBank Nucleotide Basic Local Alignment Search Tool analysis. The 16S rRNA gene sequences of four isolates (GenBank accession numbers: MN626412, MN626449, MN625916, and MT235556) showed more than 99% sequence identity to Pectobacterium parmentieri type strain RNS 08-42-1A (NR_153752.1) (Fig. S3). Six housekeeping genes proA (MT427753-MT427756), gyrA (MT427757-MT427760), icdA (MT427761-MT427764), mdh (MT427765-MT427768), gapA (MT427769-MT427772), and rpoS (MT427773-MT427776) of these four isolates were amplified and sequenced (Ma et al., 2007, Waleron et al., 2008). All sequences showed 99% to 100% sequence identity with Pectobacterium parmentieri strains. Phylogenetic trees (Fig. S4) were constructed by multi-locus sequence analysis (MLSA) using MEGA 6.0 software (Tamura et al., 2013). The samples were tested against Koch's postulates on potato seedlings (cv. Favorita) by injecting 100 µl bacterial suspension (107 CFU/ml) or sterile phosphate buffered solution into the stems 2 cm above the base (Ge et al., 2018). The seedlings were incubated at 21°C and 80% humidity (She et al., 2013). Three to 5 days after inoculation, only infected seedlings showed similar symptoms as those observed in the field: the infected area turned black and rotten (Fig. S5). Bacterial colonies isolated from these symptomatic seedlings were identified using the same methods described above and were identified as inoculated Pectobacterium parmentieri strains. Blackleg on potato plants has been reported to be caused by Pectobacterium atrosepticum, Pectobacterium carotovorum subsp. carotovorum, and Pectobacterium carotovorum subsp. brasiliense in China (Zhao et al., 2018). To our knowledge, this is the first report of blackleg of potato caused by Pectobacterium parmentieri in Inner Mongolia, China. We believe that this report will draw attention to the identification of this pathogen, which is essential to disease management.

LncRNA CTC-497E21.4 promotes the progression of gastric cancer via modulating miR-22/NET1 axis through RhoA signaling pathway.

BACKGROUND: Long non-coding RNAs (lncRNAs) have emerged as important roles in gastric cancer (GC). However, the role of the dysregulated lncRNAs in GC remained large unknown. We investigated the clinical significance, biological function and mechanism of CTC-497E21.4 in GC. METHODS: Firstly, RTFQ-PCR was used to detect the expression of CTC-497E21.4 in GC. Furthermore, knockdown of CTC-497E21.4 was conducted to assess the effect of CTC-497E21.4 in vitro and vivo. Subcellular localization of CTC-497E21.4 was determined by nuclear plasmolysis PCR and FISH. We also predicted CTC-497E21.4 binding miRNAs and downstream target genes and evaluated its regulation of miR-22 by acting as a ceRNA. RESULT: CTC-497E21.4 was upregulated in GC tissues and GC cell lines (P < 0.05), and the expression was associated with depth of invasion, lymph node metastasis, and neurological invasion. Besides, knockdown of CTC-497E21.4 inhibited cell proliferation, invasion and promoted cell cycle arrest in vitro and inhibited tumorigenesis in vivo. Mechanistic investigations indicated that CTC-497E21.4 acted as a ceRNA for miR-22 and regulated NET1 expression. CTC-497E21.4/miR-22-3p/NET1 participated in the RhoA signaling pathway in the GC progression. CONCLUSION: CTC-497E21.4 competed with miR-22 to regulate the expression of NET1 and regulated the malignant progression of GC through RhoA signaling pathway.

Relevance research between the expression of p16INK4a , Notch1, and hTERC genes: The development of HPV16-positive cervical cancer.

BACKGROUND: GLOBOCAN 2018 latest data show cervical cancer ranks fourth in morbidity and mortality among women. Many genes in cervical lesions differ in sensitivity and specificity. However, the diagnostic molecules for early cervical cancer are not very clear. This paper screens biomarkers for early molecular diagnosis of Mongolian patients with cervical cancer. METHODS: Immunohistochemical SP method was used to detect the expression of p16INK4a and Notch1 protein in paraffin sections of 226 Mongolian patients with HPV16-positive cervical lesions after pathological examination, and 100 of them were randomly selected by fluorescence in situ hybridization to detect hTERC gene. The HPV16-binding human cervical cancer SiHa cell line was used to silence the expression of HPV16 E6/E7 gene by RNA interference, and the expression of p16INK4a , Notch1, and hTERC genes and protein expression levels were detected by RT-PCR and Western blot. RESULTS: The positive expression rates of p16INK4a , Notch1, and hTERC genes in HPV16-positive cervical cancer, CIN-III, CIN-II, CIN-I, uterine leiomyoma, and chronic cervicitis were significantly different (P < .05); the positive expression rates of the three genes were also significantly different in the same type of cervical lesions (P < .05); RNA interference can effectively inhibit HPV16 E6/E7, p16INK4a and Notch1 gene expression, but has no effect on hTERC gene expression. CONCLUSION: The p16INK4a gene can be used as a biomarker for early screening of cervical cancer, and the hTERC gene can be used to confirm the clinical diagnosis of cervical cancer.

A novel pathogenic variant in OSBPL2 linked to hereditary late-onset deafness in a Mongolian family.

BACKGROUND: To investigate the clinical features and the underlying causal gene of a family with hereditary late-onset deafness in Inner Mongolia of China, and to provide evidence for the early genetic screening and diagnosis of this disease. METHODS: Family data were collected to draw a pedigree. Audiological testing and physical examination of the family members were conducted following questionnaire. Genomic DNA was extracted from peripheral blood of 5 family members (3 patients and 2 normal control) and subjected to whole genome sequencing for identifying deafness casual genes. The pathogenic variant in the deafness gene was further confirmed by Sanger sequencing. RESULTS: The family is composed of a total of 6 generations, with 53 traceable individuals. In this family,19 of them were diagnosed with post lingual deafness with the age of onset between 10 and 40 years, displaying delayed and progressive hearing loss. Patients with hearing loss showed bilateral symmetry and mild to severe sensorineural deafness. The pattern of deafness inheritance in this family is autosomal dominant. Whole genome sequencing identified a novel pathogenic frameshift mutation, c.158_159delAA (p.Gln53Arg fs*100) in the gene OSBPL2 (Oxysterol-binding protein-related protein 2, NM_144498.2), which is absent from genomic data of 201 unrelated normal subjects. This pathogenic variant was further validated by Sanger sequencing, and was found to co-segregate in this family. CONCLUSIONS: Whole genome sequencing identified a two-nucleotide deletion in OSBPL2 (c.158_159delAA) as the pathogenic variant for deafness in the family. Our finding expands the mutational spectrum of OSBPL2 and contributes to the pathogenic variant list in genetic counseling for deafness screening.

Artificial neural network identified a 20-gene panel in predicting immunotherapy response and survival benefits after anti-PD1/PD-L1 treatment in glioblastoma patients.

BACKGROUND: Immune checkpoint inhibitors (ICIs) are a promising immunotherapy approach, but glioblastoma clinical trials have not yielded satisfactory results. OBJECTIVE: To screen glioblastoma patients who may benefit from immunotherapy. METHODS: Eighty-one patients receiving anti-PD1/PD-L1 treatment from a large-scale clinical trial and 364 patients without immunotherapy from The Cancer Genome Atlas (TCGA) were included. Patients in the ICI-treated cohort were divided into responders and nonresponders according to overall survival (OS), and the most critical responder-relevant features were screened using random forest (RF). We constructed an artificial neural network (ANN) model and verified its predictive value with immunotherapy response and OS. RESULTS: We defined two groups of ICI-treated glioblastoma patients with large differences in survival benefits as nonresponders (OS ≤6 months, n = 18) and responders (OS ≥17 months, n = 8). No differentially mutated genes were observed between responders and nonresponders. We performed RF analysis to select the most critical responder-relevant features and developed an ANN with 20 input variables, five hidden neurons and one output neuron. Receiver operating characteristic analysis and the DeLong test demonstrated that the ANN had the best performance in predicting responders, with an AUC of 0.97. Survival analysis indicated that ANN-predicted responders had significantly better OS rates than nonresponders. CONCLUSION: The 20-gene panel developed by the ANN could be a promising biomarker for predicting immunotherapy response and prognostic benefits in ICI-treated GBM patients and may guide oncologists to accurately select potential responders for the preferential use of ICIs.

Characteristic analysis and identification of novel molecular biomarkers in elderly glioblastoma patients using the 2021 WHO Classification of Central Nervous System Tumors.

Introduction: Elderly glioblastoma (GBM) patients is characterized by high incidence and poor prognosis. Currently, however, there is still a lack of adequate molecular characterization of elderly GBM patients. The fifth edition of the WHO Classification of Central Nervous System Tumors (WHO5) gives a new classification approach for GBM, and the molecular characteristics of elderly GBM patients need to be investigated under this new framework. Methods: The clinical and radiological features of patients with different classifications and different ages were compared. Potential prognostic molecular markers in elderly GBM patients under the WHO5 classification were found using Univariate Cox regression and Kaplan-Meier survival analysis. Results: A total of 226 patients were included in the study. The prognostic differences between younger and elderly GBM patients were more pronounced under the WHO5 classification. Neurological impairment was more common in elderly patients (p = 0.001), while intracranial hypertension (p = 0.034) and epilepsy (p = 0.038) were more common in younger patients. Elderly patients were more likely to have higher Ki-67(p = 0.013), and in elderly WHO5 GBM patients, KMT5B (p = 0.082), KRAS (p = 0.1) and PPM1D (p = 0.055) were each associated with overall survival (OS). Among them, KRAS and PPM1D were found to be prognostic features unique to WHO5 elderly GBM patients. Conclusion: Our study demonstrates that WHO5 classification can better distinguish the prognosis of elderly and younger GBM. Furthermore, KRAS and PPM1D may be potential prognostic predictors in WHO5 elderly GBM patients. The specific mechanism of these two genes in elderly GBM remains to be further studied.

Identification of a HOXD13 variant in a Mongolian family with incomplete penetrance syndactyly by exon sequencing.

BACKGROUND: Syndactyly (SD) refers to a deformity caused by the fusion and limb differentiation disorder of soft tissues and/or skeletons to varying extents between adjacent fingers (toes). The main features of this disease are phenotypic heterogeneity and genetic heterogeneity. In this study, we examined four generations of a Chinese Mongolian with different phenotypes of syndactylia and analysed and identified the pathogenic genetic variants of SD by exon sequencing. METHODS: The clinical phenotypes of patients were analysed, and the hands and feet were examined by X-ray. The pedigree was drawn, and the family data were analysed. Peripheral blood was collected from the family members, and genomic DNA was extracted. The candidate genes of SD were identified by exon sequencing, and the mutation sites of the captured candidate genes were amplified by PCR and verified by Sanger sequencing. RESULTS: The family has congenital syndactyly, which is an autosomal dominant disease. At present, this condition has been passed down for 4 generations and was identified in 9 patients, including 4 males and 5 females. Five patients, I2, II4, III5, III,7 and III10, had unilateral syndactyly, and four patients, III16, IV3, IV6 and IV7, had bilateral finger syndactyly. All of their toes were unaffected. The proband and the other patients in this family had a c.917G > A (p.R306Q) mutation, which is located at position 917 of the second exon of the HOXD13 gene. This mutation results in a change in the amino acid at position 306, in which arginine is changed to glutamine. This mutation cosegregates in unaffected individuals and affected patients in this family. Moreover, 201 Mongolian genome databases and a thousand human genome databases were referenced to further confirm that the pathogenic genetic variant that causes syndactyly in this family is found in HOXD13. CONCLUSION: This study found that the mutation site of the pathogenic gene in this family was HOXD13, c.917G > A (p.R306Q). The phenotype of the family member III12 was normal, but this member was also a carrier of the pathogenic genetic variant. This indicates that the disease of this family has incomplete penetrance characteristics. Our results further enrich the expression profile of the HOXD13 gene.

Removal of ammonia nitrogen from water by mesoporous carbon electrode-based membrane capacitance deionization.

The removal of ammonia nitrogen from wastewater is always a focus in current water treatment. In this study, a combination of mesoporous carbon electrode and selective ion exchange membrane was used to assemble a membrane capacitor deionization system (MCDI). The optimal process parameters were determined as follows: the plate spacing was 1 mm, the voltage was 1.2 V, and the flow rate was 23.8 mL/min. Under the optimal conditions, the removal efficiency of ammonia nitrogen can reach more than 80%. The quasi-first order kinetics and Langmuir adsorption isotherm model can well describe the adsorption process of MCDI. The nature of physical adsorption between ammonia nitrogen cations and mesoporous carbon electrode was demonstrated by the calculation of activation energy and thermodynamic parameters. Moreover, 1500 mg/L NH4Cl, NaNO2, and NaNO3 solutions were tested respectively. The results showed that the removal efficiencies of NH4+, NO2-, and NO3- were 82.33%, 90.96%, and 97.73% respectively, indicating that MCDI is feasible to removal different forms of inorganic nitrogen from water.